Technology and services partner for university online program growth
Noodle partners with universities on enrollment, access and learner outcomes, pairing services with a Python/Django and React/Next.js product stack. The standout signal is a deep LLM toolchain (OpenAI, Anthropic, LangGraph, LangChain, Langfuse, RAG), with job posts focused on agent evaluation, red-teaming and hallucination reduction, a sign that AI agents are moving into production. Hiring is accelerating, led by engineering, with director-level adds in finance and university partnerships.
Notable leadership hires: Finance Director, Director University Partnerships
Noodle is a privately held higher education growth partner headquartered in New York, NY, with 201–500 employees. It works with universities to launch programs, grow enrollment and improve learner outcomes through a mix of technology and services. Its offering spans the learner journey from first inquiry to completion, connecting institutional systems, simplifying workflows and providing around-the-clock support and insights. The company hires in the United States and South Africa.
Noodle builds with Python (Flask, Django, SQLAlchemy), React, Next.js, TypeScript and Tailwind CSS, plus GraphQL, MongoDB and AWS Amplify. Its AI tooling includes OpenAI, Anthropic, LangChain, LangGraph and Langfuse.
Yes. Job posts describe multi-step agent workflow design, an AI agent evaluation framework, red-teaming protocols and agent deployment on an orchestration platform, supported by LangGraph, LangChain and RAG.
Noodle is headquartered in New York, NY, and hires in the United States and South Africa.
Other companies in the same industry, closest in size
Noodle's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.